Codetown
Codetown ::: a software developer's community
Bradlee Sargent's Groups (9)
.Net Town
18 members Latest Activity: Apr 13, 2020 What's up with .Net in your neck of the woods? We'll discuss all the basics here. Eventually, we'l break out separate groups for C#, etc...
Community Corral
23 members Latest Activity: Aug 23, 2012 Are you interested in social networks? We're talking about virtual communities here. Community builders use tools and techniques. We'll discuss them…
Wikipedia Place
9 members Latest Activity: Oct 27, 2011 We've had a unique opportunity to speak with Brion Vibber recently at the October Orlandojug meeting. Let's discuss what we learned for those who…
Cloud Computing Village
16 members Latest Activity: Aug 21, 2015 Cloud Computing is "the next big thing". The recent JavaOne featured Cloud Computing more than any other technology. Come join us and explore /…
Startup City
24 members Latest Activity: Jun 10, 2016 Have you got a great idea you'd like to put into action? This is the place for you! We'll talk about ideas and how to turn them into businesses here.
Democratic Republic of Congo (RDC) JUG Town
8 members Latest Activity: Jun 5, 2014
Come join us here at the RDC JUG Town! Stanislas Matayo and the group in Kinshasa welcome you.
Computational Linguistics Village
15 members Latest Activity: May 6, 2018 Ever wonder how Google Translate works? It's computational linguistics! Join us here and learn all about it and more. Jim White will be our guide.…
Android Town
35 members Latest Activity: Jul 20, 2019 Android is an open Java-based platform to use for developing mobile apps. Do you believe mobile computing is the wave of the future? We do!
Happy 10th year, JCertif!
Notes
Welcome to Codetown!
Codetown is a social network. It's got blogs, forums, groups, personal pages and more! You might think of Codetown as a funky camper van with lots of compartments for your stuff and a great multimedia system, too! Best of all, Codetown has room for all of your friends.
Created by Michael Levin Dec 18, 2008 at 6:56pm. Last updated by Michael Levin May 4, 2018.
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InfoQ Reading List
pnpm 11 Release Candidate: ESM Distribution, Supply Chain Defaults and a New Store Format
pnpm 11 RC has been released, featuring significant changes in performance, security, and configuration. Key updates include an SQLite-backed store index, tighter security defaults, and a consolidated build script setting. It now requires Node.js v22 or later. Global installs are isolated by default, and new commands enhance usability. Migration guidance is available in the documentation.
By Daniel CurtisAnthropic Introduces Managed Agents to Simplify AI Agent Deployment
Anthropic introduces Managed Agents on Claude, a managed execution layer for agent-based workflows. It separates agent logic from runtime concerns like orchestration, sandboxing, state management, and credentials. The system supports long-running multi-step workflows with external tools, error recovery, and session continuity via a meta-harness architecture.
By Leela KumiliSlack Rebuilds Notification System, Reports 5X Increase in Settings Engagement
Slack has rebuilt its notification system with a unified architecture that separates activity from delivery, improving consistency across platforms. The redesign simplifies preferences, preserves legacy settings through transformation, and resulted in a 5x increase in user engagement with notification settings along with reduced support tickets.
By Leela KumiliGitHub Acknowledges Recent Outages, Cites Scaling Challenges and Architectural Weaknesses
GitHub has publicly addressed a series of recent availability and performance issues that disrupted services across its platform, attributing the incidents to rapid growth, architectural coupling, and limitations in handling system load.
By Craig RisiPresentation: Dynamic Moments: Weaving LLMs into Deep Personalization at DoorDash
Sudeep Das and Pradeep Muthukrishnan explain the shift from static merchandising to dynamic, moment-aware personalization at DoorDash. They share how LLMs generate natural-language "consumer profiles" and content blueprints, while traditional deep learning handles last-mile ranking. This hybrid approach allows the platform to adapt to short-lived user intent and massive catalog abundance.
By Sudeep Das, Pradeep Muthukrishnan
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